Aesthetic Agents: A Multi-Agent System for Non-Photorealistic Rendering with Multiple Images

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Session Title:

  • Code and Generative Art

Presentation Title:

  • Aesthetic Agents: A Multi-Agent System for Non-Photorealistic Rendering with Multiple Images

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Abstract:

  • Session: Code and Generative Art

    The creation of expressive styles for digital art is one of the primary goals in non-photorealistic rendering (NPR). In this paper, we introduce a swarm-based multi-agent system that is capable of producing expressive imagery through the use of multiple bitmap images. At birth, agents in our system are assigned a digital image that represents their aesthetic ideal. As agents move throughout a digital canvas they try to realize their ideal by modifying the pixels in the digital canvas to be closer to the pixels in their aesthetic ideal. When agents with different aesthetic ideals occupy the same canvas, a new image is created through the convergence of their conflicting aesthetic goals. By varying the inputs and parameters of our multi-agent system we were able to emulate a variety of painterly styles including Impressionism, Futurism, Cubism and Montage. The ease of implementation and variety of results created through minor changes in variables and inputs makes a compelling argument for more research using multi-agent systems for NPR.

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